Capital One Principal Quantitative Analyst - Model Risk 

United States, Virginia, Arlington 

877824508

Principal Quantitative Analyst - Model Risk

As a Principal Quantitative Analyst within the Model Risk Office, you will be part of the Model Validation Team, working on the validation of stress testing models, finance forecasting models and Interest Rate and Liquidity Risk Management models. Validations cover all aspects of model development and performance and include forward-looking advancements in model sophistication and quality. You will enhance your technical and analytical skills, while also working closely with business leaders to influence business strategy. With a network of over 200 quantitative analysts and statisticians, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.

Responsibilities and Skills:

• Develop and implement validation strategies for statistical, financial, and other quantitative models used in stress testing, interest rate risk, liquidity risk and deposit funding

• Assess the quality and risk of data, model methodologies, outputs, and processes

• Develop alternative model approaches to assess model design and advance future capabilities

• Apply deep expertise in econometric, statistical and machine learning methods to generate critical insights in assessing model risks and opportunities

• Communicate clearly and concisely both verbally and through written communication via model validation reports and presentations

• Identify opportunities to apply quantitative methods and automation solutions to improve business performance and process efficiencies

Successful candidates will possess:

• Strong understanding of quantitative analysis methods in relation to financial institutions

• Demonstrated track record in financial modeling, machine learning and econometric analysis

• Experience utilizing model estimation tools

• Ability to clearly communicate modeling results to a wide range of audiences

• Drive to develop and maintain high quality and transparent model documentation

• Strong written and verbal communication skills

• Strong presentation skills

• Ability to fully own the model development process: from conceptualization through data exploration, model selection, validation, deployment, business user training, and monitoring

• Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, survival analysis, panel data models, design of experiments, decision trees, machine learning methods)

• Extensive experience in Python or other object-oriented language

• A passion for advancing AI-driven automation and content creation

• Deep Knowledge of capital market products, financial markets, and bank products

Basic Qualifications:

• Currently has, or is in the process of obtainingone of the followingwith an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics

  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics

  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Preferred Qualifications:

• Master’s Degree or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Finance, Physics or related discipline

• 3+ years of experience with data analysis

• 2+ years of experience manipulating and analyzing large data sets

• 2+ years of experience with Python, R or other statistical analyst software

• 2+ years of experience with developing, optimizing and implementing AI models that leverage generative techniques (LLMs)

• 2+ years of experience with machine learning platforms and frameworks (scikit-learn, PyTorch, Spark, or NLTK)

• 2+ years of experience in statistical techniques (classification, clustering, regression, or natural language processing)

McLean, VA: $158,600 - $181,000 for Prin Assoc, Quant AnalysisThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.